Tomas Kracmar
0eebcd0765
- Service/category pills are now clickable: click to filter by that service - Result pills (Success, Failure, etc.) are now clickable: click to filter by that result - Click again to clear the filter (toggle behavior) - Change default page size from 100 to 25 - Add DEFAULT_PAGE_SIZE config (env var, default 25), exposed via /api/config/features - Change footer brand from CQRE to CQRE.NET - Add pill--clickable hover styles - Bump CSS cache-buster to v=10
68 lines
2.6 KiB
Plaintext
68 lines
2.6 KiB
Plaintext
TENANT_ID=your-tenant-id
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CLIENT_ID=your-client-id
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CLIENT_SECRET=your-client-secret
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ENABLE_PERIODIC_FETCH=false
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FETCH_INTERVAL_MINUTES=60
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AUTH_ENABLED=false
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AUTH_TENANT_ID=your-tenant-id
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AUTH_CLIENT_ID=your-api-client-id
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# API scope the SPA should request at login.
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# When set, the frontend acquires an access token for this scope (aud = AUTH_CLIENT_ID).
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# When empty, the frontend falls back to the idToken, which is also valid for the backend.
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# Example: api://cc31fd45-1eca-431f-a2c6-ba81cd4c5d50/.default
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AUTH_SCOPE=
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# Comma-separated lists (optional):
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AUTH_ALLOWED_ROLES=
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AUTH_ALLOWED_GROUPS=
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MONGO_ROOT_USERNAME=root
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MONGO_ROOT_PASSWORD=example
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MONGO_PORT=27017
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# MongoDB connection string (takes precedence over root credentials in Docker Compose)
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MONGO_URI=mongodb://root:example@localhost:27017
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# Optional: number of days to retain events in MongoDB (0 = disabled)
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RETENTION_DAYS=0
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# Optional: comma-separated CORS origins (e.g., http://localhost:3000,https://app.example.com)
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CORS_ORIGINS=*
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# Optional: SIEM export webhook (e.g., Splunk HEC, Sentinel, or generic syslog webhook)
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SIEM_ENABLED=false
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SIEM_WEBHOOK_URL=
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# Optional: enable rule-based alerting during ingestion
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ALERTS_ENABLED=false
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# Optional: enable AI/natural-language features (/api/ask, MCP server)
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# Set to false to completely disable AI endpoints and UI elements
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AI_FEATURES_ENABLED=true
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# Optional: LLM configuration for natural language querying (/api/ask)
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# Supports any OpenAI-compatible API (OpenAI, Azure OpenAI, Ollama, etc.)
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# For Azure OpenAI / MS Foundry, set BASE_URL to your deployment endpoint
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# (e.g. https://your-resource.openai.azure.com/openai/deployments/your-deployment)
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# and set API_VERSION to something like 2025-01-01-preview
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LLM_API_KEY=
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LLM_BASE_URL=https://api.openai.com/v1
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LLM_MODEL=gpt-4o-mini
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LLM_MAX_EVENTS=200
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LLM_TIMEOUT_SECONDS=30
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LLM_API_VERSION=
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# Valkey (caching + async job queue for LLM calls)
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# In Docker Compose, this is set automatically to redis://redis:6379/0
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# For local dev, start Valkey with: docker run -d -p 6379:6379 valkey/valkey:8-alpine
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REDIS_URL=redis://localhost:6379/0
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# UI default page size (number of events shown per page)
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DEFAULT_PAGE_SIZE=25
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# Optional: privacy / access control
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# Hide entire services from users without PRIVACY_SERVICE_ROLES
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# PRIVACY_SERVICES=Exchange,Teams
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# Hide specific operations across all services from users without PRIVACY_SERVICE_ROLES
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# PRIVACY_SENSITIVE_OPERATIONS=MailItemsAccessed,Search-Mailbox,Send,ChatMessageRead
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# Comma-separated list of Entra roles that can access privacy-sensitive data
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# PRIVACY_SERVICE_ROLES=SecurityAdministrator,ComplianceAdministrator
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